Learning elements of representations for redescribing robot experiences

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1642, Issue , 1999, Pages 99-110

  Firoiu, Laura ^a   Cohen, Paul ^a  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATOMS; DATA HANDLING; HIDDEN MARKOV MODELS; INFORMATION ANALYSIS; MARKOV PROCESSES; ROBOTS; TIME SERIES;

ATOMIC PROPOSITIONS; INDUCTION ALGORITHMS; LOGICAL REPRESENTATIONS; MINIMUM DESCRIPTION LENGTH CRITERIA; SENSOR VALUES; SENSORY DATA;

PROBABILITY DISTRIBUTIONS;

EID: 84957636602     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48412-4_9     Document Type: Conference Paper

References (8)

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8. Matthew D. Schmill, Tim Oates, and Paul R. Cohen. Learned models for continuous planning. In Proceedings of Uncertainty 99: The Seventh International Workshop on Artificial Intelligence and Statistics, pages 278-282, 1999.